A more accurate second-order polynomial metamodel using a pseudo-random number assignment strategy

被引：5
作者：
Chih, M. [1 ]
机构：
[1] Chung Shan Inst Sci & Technol, Tao Yuan 32546, Taiwan
来源：
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | 2013年 / 64卷 / 02期
关键词：
network reliability; response surface metamodel; simulation; pseudo-random number assignment; RESPONSE-SURFACE DESIGNS; SIMULATION; OPTIMIZATION; RELIABILITY; NETWORKS; TIME;
D O I：
10.1057/jors.2012.34
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
The response surface metamodel is a useful sequential methodology for approximating the relationship between the input variables and the output response in computer simulation. Several strategies have been proposed to increase the accuracy of the estimation of the metamodel. In the current paper, we introduce an effective pseudo-random number (PRN) assignment strategy with Box-Behnken design to construct a more accurate second-order polynomial metamodel to estimate the network reliability of a complex system. The results obtained from the simulation approach show that the reduction in maximum absolute relative error between the response surface approximation and the actual reliability function is 35.63% after the PRN assignment strategy is applied. Journal of the Operational Research Society (2013) 64, 198-207. doi:10.1057/jors.2012.34 Published online 25 April 2012
引用
收藏
页码：198 / 207
页数：10
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